Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study

Abstract Background For patients with aneurysmal subarachnoid hemorrhages (SAHs) and multiple intracranial aneurysms (MIAs), a simple and fast imaging method that can identify ruptured intracranial aneurysms (RIAs) may have great clinical value. We sought to use the aneurysm-specific prediction scor...

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Main Authors: Xue-hua Zhang, Xiao-yan Zhao, Lan-lan Liu, Li Wen, Guang-xian Wang
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Neurology
Subjects:
Online Access:https://doi.org/10.1186/s12883-022-02727-w
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author Xue-hua Zhang
Xiao-yan Zhao
Lan-lan Liu
Li Wen
Guang-xian Wang
author_facet Xue-hua Zhang
Xiao-yan Zhao
Lan-lan Liu
Li Wen
Guang-xian Wang
author_sort Xue-hua Zhang
collection DOAJ
description Abstract Background For patients with aneurysmal subarachnoid hemorrhages (SAHs) and multiple intracranial aneurysms (MIAs), a simple and fast imaging method that can identify ruptured intracranial aneurysms (RIAs) may have great clinical value. We sought to use the aneurysm-specific prediction score to identify RIAs in patients with MIAs and evaluate the aneurysm-specific prediction score. Methods Between May 2018 and May 2021, 134 patients with 290 MIAs were retrospectively analyzed. All patients had an SAH due to IA rupture. CT angiography (CTA) was used to assess the maximum diameter, shape, and location of IAs to calculate the aneurysm-specific prediction score. Then, the aneurysm-specific prediction score was applied to RIAs in patients with MIAs. Results The IAs with the highest aneurysm-specific prediction scores had not ruptured in 17 (12.7%) of the 134 patients with 290 MIAs. The sensitivity, specificity, false omission rate, diagnostic error rate, and diagnostic accuracy of the aneurysm-specific prediction score were higher than those of the maximum diameter, shape, and location of IAs. Conclusions The present study suggests that the aneurysm-specific prediction score has high diagnostic accuracy in identifying RIAs in patients with MIAs and SAH, but that it needs further evaluation.
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spelling doaj.art-68c601ca89354f95bde26c5b8238eb842022-12-22T03:30:10ZengBMCBMC Neurology1471-23772022-06-012211810.1186/s12883-022-02727-wIdentification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation studyXue-hua Zhang0Xiao-yan Zhao1Lan-lan Liu2Li Wen3Guang-xian Wang4Department of Radiology, Banan People’s Hospital, Chongqing Medical UniversityDepartment of Radiology, Banan People’s Hospital, Chongqing Medical UniversityDepartment of Radiology, Army Medical University Xinqiao HospitalDepartment of Radiology, Army Medical University Xinqiao HospitalDepartment of Radiology, Banan People’s Hospital, Chongqing Medical UniversityAbstract Background For patients with aneurysmal subarachnoid hemorrhages (SAHs) and multiple intracranial aneurysms (MIAs), a simple and fast imaging method that can identify ruptured intracranial aneurysms (RIAs) may have great clinical value. We sought to use the aneurysm-specific prediction score to identify RIAs in patients with MIAs and evaluate the aneurysm-specific prediction score. Methods Between May 2018 and May 2021, 134 patients with 290 MIAs were retrospectively analyzed. All patients had an SAH due to IA rupture. CT angiography (CTA) was used to assess the maximum diameter, shape, and location of IAs to calculate the aneurysm-specific prediction score. Then, the aneurysm-specific prediction score was applied to RIAs in patients with MIAs. Results The IAs with the highest aneurysm-specific prediction scores had not ruptured in 17 (12.7%) of the 134 patients with 290 MIAs. The sensitivity, specificity, false omission rate, diagnostic error rate, and diagnostic accuracy of the aneurysm-specific prediction score were higher than those of the maximum diameter, shape, and location of IAs. Conclusions The present study suggests that the aneurysm-specific prediction score has high diagnostic accuracy in identifying RIAs in patients with MIAs and SAH, but that it needs further evaluation.https://doi.org/10.1186/s12883-022-02727-wMultiple intracranial aneurysmsSubarachnoid hemorrhageRisk factorsComputed tomography arteriographyPredictive scoring model
spellingShingle Xue-hua Zhang
Xiao-yan Zhao
Lan-lan Liu
Li Wen
Guang-xian Wang
Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
BMC Neurology
Multiple intracranial aneurysms
Subarachnoid hemorrhage
Risk factors
Computed tomography arteriography
Predictive scoring model
title Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
title_full Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
title_fullStr Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
title_full_unstemmed Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
title_short Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study
title_sort identification of ruptured intracranial aneurysms using the aneurysm specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages a chinese population based external validation study
topic Multiple intracranial aneurysms
Subarachnoid hemorrhage
Risk factors
Computed tomography arteriography
Predictive scoring model
url https://doi.org/10.1186/s12883-022-02727-w
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